Nicolas Raab

763 citations
17 papers · 557 · h-index 13

Impact in

Papers in

Nicolas Raab

17 papers receiving 555 citations

Peers

Nicolas Raab
Comparison fields: 5 of 46
  • Cellular and Molecular Neuroscience 167
  • Electrical and Electronic Engineering 446
  • Polymers and Plastics 105
  • Materials Chemistry 188
  • Electronic, Optical and Magnetic Materials 62
Replace Anton V. Volkov with:
Anton V. Volkov Sweden
A. Holt United States
Huiyuan Liu China
Sang Ho Jeon South Korea
Chao Tan China
Dedong Han China
Yi‐Ting Tseng Taiwan
Xinyi Fan China
Hengyuan Wang China
Nicolas Raab relative to Anton V. Volkov Sweden Anton V. Volkov's profile →
Citations per field
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Anton V. Volkov · 1×
Citations per year

Countries citing papers authored by Nicolas Raab

Since Specialization
Citations

This map shows the geographic impact of Nicolas Raab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicolas Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Raab more than expected).

Fields of papers citing papers by Nicolas Raab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Raab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicolas Raab. The network helps show where Nicolas Raab may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Raab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicolas Raab Line = papers co-authored together Nicolas Raab links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017104
2 201689
3 201866
4 201666
5 201536
6 201731
7 201531
8 201827
9 201525
10 201817
11 201716
12 201913
13 201912
14 201612
15 201810
16 20251
17 20171

About Nicolas Raab

Nicolas Raab is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Global and Planetary Change and Electronic, Optical and Magnetic Materials, having authored 17 papers that have together received 557 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Electronic and Structural Properties of Oxides (7 papers), Neuroscience and Neural Engineering (6 papers), Photoreceptor and optogenetics research (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Magnetic and transport properties of perovskites and related materials (2 papers) and Advanced Condensed Matter Physics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (167 citations), Electrical and Electronic Engineering (446 citations), Polymers and Plastics (105 citations), Materials Chemistry (188 citations) and Electronic, Optical and Magnetic Materials (62 citations). Nicolas Raab has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Regina Dittmann, Christoph Baeumer, Rainer Waser, Stephan Menzel, Claus M. Schneider, Christoph Schmitz, Slavomír Nemšák, Moonsub Shim, Steven P. Rogers and David N. Mueller. Their work appears in journals such as Nanomaterials, APL Materials, Nature Communications, Nano Letters and Advanced Electronic Materials.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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